AI FinOps Engineer — Optimize AI Costs & Governance

T. Rowe Price; Owings Mills (MD); Hybrid; USD 122,000 - 209,000; Full time

Benefits offered by this job

Competitive compensation

Annual bonus eligibility

Hybrid work schedule

Health and wellness benefits

Paid time off

Job summary

T. Rowe Price seeks an AI FinOps Engineer to drive cost-effective AI adoption across the firm.

You will operate at the intersection of AI platforms, cloud financial operations, data infrastructure, and governance to ensure transparent, disciplined spending and risk awareness. You will partner with TRP Labs, Enterprise Architecture, Engineering, Finance, Procurement, and Data Science to provide spend visibility, improve efficiency, and establish standards for responsible AI usage across cloud and

Qualifications

• Bachelor’s degree or equivalent work experience in a related field.
• Experience in FinOps, cloud engineering, platform engineering, DevOps, MLOps, data engineering, or cost management.
• Deep familiarity with cloud cost drivers and AI/ML workload patterns.
• Experience with major cloud platforms such as AWS or Azure.
• Experience using cloud cost management, observability, or reporting tools.
• Proficiency in Python, SQL, or similar scripting languages.
• Experience building dashboards and analytics for cost transparency.

Responsibilities

• Develop and maintain cost transparency for AI/ML workloads across compute, storage, networking, model training, inference, and third‑party usage.
• Create and manage reporting, dashboards, and KPIs to track AI-related spend, utilization, and value.
• Partner with architecture, engineering, platform, and data science teams to optimize AI infrastructure and services.
• Analyze AI workload patterns and recommend optimization strategies for deployment, compute sizing, scheduling, and data lifecycle management.
• Support showback/chargeback models to improve accountability and decision-making.
• Build forecasting and budgeting models for AI platform usage and external spend.
• Define and enforce governance standards for AI infrastructure, including tagging and provisioning controls.
• Collaborate with Finance and Procurement on vendor evaluation, pricing, and consumption optimization.
• Work with Risk, Security, and Compliance to ensure cost optimization aligns with controls.
• Automate cost management and governance using scripting and IaC.
• Evaluate hosted vs internal AI solutions with emphasis on cost and security.
• Contribute to firmwide best practices for responsible AI adoption.

Skills

FinOps

Cloud engineering

Platform engineering

DevOps

MLOps

Data engineering

Python

Education

Bachelor’s degree or equivalent work experience

Tools

AWS

Azure

Databricks

Snowflake

Job description

T. Rowe Price seeks an AI FinOps Engineer to drive cost-effective AI adoption across the firm.

You will operate at the intersection of AI platforms, cloud financial operations, data infrastructure, and governance to ensure transparent, disciplined spending and risk awareness. You will partner with TRP Labs, Enterprise Architecture, Engineering, Finance, Procurement, and Data Science to provide spend visibility, improve efficiency, and establish standards for responsible AI usage across cloud and